Economic Insecurity and Discrimination towards Transgender People

Last registered on March 31, 2026

Pre-Trial

Trial Information

General Information

Title
Economic Insecurity and Discrimination towards Transgender People
RCT ID
AEARCTR-0018170
Initial registration date
March 23, 2026

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
March 31, 2026, 9:39 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Affiliation
Tilburg University

Other Primary Investigator(s)

Additional Trial Information

Status
Completed
Start date
2026-03-23
End date
2026-03-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study tests whether acute economic insecurity amplifies discrimination toward transgender women in prosocial decisions. Non-LGBTQ+ adults are recruited online (Prolific) and they are assigned to economic (in)security based on the payday calendar they report. If the current date is 2 to 4 days before their payday they are assigned to insecurity treatment and they do a writing task to prime income insecurity, if its 0 to 3 days after they receive their wage they are assigned to do security treatment and do a security writing task.
and After the writing task, participants report current affect (PANAS) and then play a give-or-take dictator game in which the outcome is the net transfer to the recipient (positive values indicate giving; negative values indicate taking). Each dictator makes allocation decisions for three recipient profiles: a transgender woman, a cisgender woman, and a man. Recipient profiles were identical expect color of the tshirt and month of birth, with transgender status signaled via the profile’s gender field and avatar. The within-subject component is fully counterbalanced using all six possible profile orders (balanced panel; no feedback between rounds), and one decision is randomly selected for payment.

The primary estimands are (i) the effect of economic insecurity on average transfers, (ii) the within-person allocation gap between transgender and cisgender women (a behavioral measure of discrimination), and (iii) whether insecurity moderates this trans--cis gap. Order and carryover will be evaluated via profile-by-position interactions and prior-profile indicators; if diagnostics indicate meaningful carryover, a pre-registered fallback estimates discrimination using the first decision only (between-subject comparison). Secondary analyses examine heterogeneity in discriminatory gaps, moderation by baseline prejudice and demographics, associational mediation via PANAS and CRT, and downstream effects on policy attitudes.
External Link(s)

Registration Citation

Citation
Aktas, Mia. 2026. "Economic Insecurity and Discrimination towards Transgender People." AEA RCT Registry. March 31. https://doi.org/10.1257/rct.18170-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Participants are screened/assigned to insecurity vs security using a pre-specified rule based on self-reported payday date (2–4 days pre-payday = insecurity; 0–3 days post-payday = security). The manipulation is reinforced with a 4-minute writing task about a past/present episode of financial insecurity vs security. PANAS is measured immediately after the writing task. Dictators then complete a give-or-take dictator task with three recipients (trans woman / cis woman / man), shown in one of the six fully counterbalanced orders. Profiles are identical on substantive characteristics; minor cosmetic variation (e.g., T-shirt color; month/quarter of birth) is used to reduce demand effects. Trans status is signaled only by the gender category and avatar. No outcome feedback is given. One round is randomly selected for payment (plus any fixed participation payment).
Intervention Start Date
2026-03-23
Intervention End Date
2026-03-31

Primary Outcomes

Primary Outcomes (end points)
Net transfer in the give-or-take dictator game for each recipient profile (positive = giving; negative = taking)
Primary Outcomes (explanation)
The dictator-game outcome is measured as net transfer; amounts given are coded positive and amounts taken are coded negative

Secondary Outcomes

Secondary Outcomes (end points)
PANAS Positive Affect and Negative Affect scores, CRT score, transgender policy attitudes (indices/subscales).
Heterogeneity measures (distribution of individual discrimination gaps)
Secondary Outcomes (explanation)
PANAS outcomes are computed as standard summed/averaged Positive Affect and Negative Affect scales.

Experimental Design

Experimental Design
Hybrid design combining (i) a between-subject income (in)security condition assigned via payday timing plus a writing prime, and (ii) a within-subject dictator task in which each participant makes net-transfer decisions for three recipient profiles (trans woman, cis woman, man). The within-subject component is fully counterbalanced across all six profile orders; no feedback is provided. One decision is randomly selected for payment.
Experimental Design Details
Not available
Randomization Method
Income (in)security condition: assigned by a pre-specified rule using self-reported payday timing (2–4 days pre-payday vs 0–3 days post-payday) + corresponding writing prime.
Within-sub profile order: computer randomization assigns each participant to one of the six possible profile sequences with equal probability.
Incentives: one dictator decision is randomly selected for payment by the experimental software.
Randomization Unit
Individual participants (dictators). Within-sub profile order is randomized at the individual level.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
500 participants
Sample size: planned number of observations
500 individuals total (primary unit). Each provides 3 dictator-game observations (1500 decision-level observations) plus survey outcomes.
Sample size (or number of clusters) by treatment arms
250 security, 250 insecurity
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Given 250 people per treatment group, power of 0.8 and 5 percent alpha error probability, minimum detectable effect size for Wilcoxon test is 0.22.
IRB

Institutional Review Boards (IRBs)

IRB Name
TiSEM Institutional Review Board
IRB Approval Date
2025-07-31
IRB Approval Number
IRB FUL 2025-006
Analysis Plan

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